Evolution of vehicle routing problem heuristics with genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Gulic:2013:MIPRO,
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author = "Matija Gulic and Domagoj Jakobovic",
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booktitle = "36th International Convention on Information
Communication Technology Electronics Microelectronics
(MIPRO 2013)",
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title = "Evolution of vehicle routing problem heuristics with
genetic programming",
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year = "2013",
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month = "20-24 " # may,
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pages = "988--992",
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keywords = "genetic algorithms, genetic programming, vehicle
routing problem with time windows, heuristic
scheduling",
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URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6596400",
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size = "5 pages",
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abstract = "Increasingly complex variants of the vehicle routing
problem with time windows (VRPTW) are coming into
focus, alleviated with advances in the computing power.
VRPTW is a combination of the classical travelling
salesman and bin packing problems, with many real world
applications in various fields - from physical resource
manipulation planning to virtual resource management in
the ever more popular cloud computing domain. The basis
for many VRPTW approaches is a heuristic which builds a
candidate solution that is subsequently improved by a
search or optimisation procedure. The choice of the
appropriate heuristic may have a great impact on the
resulting quality of the obtained schedules. In this
paper we use genetic programming to evolve a suitable
heuristic to build initial solutions for different
objectives and classes of VRPTW instances. The results
show great potential, since this method is applicable
to different problem classes and user-defined
performance objectives.",
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notes = "Also known as \cite{6596400}",
- }
Genetic Programming entries for
Matija Gulic
Domagoj Jakobovic
Citations